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analysis. It can handle the classification of, for example, titles,
questions, sentences, and short messages. Main features of
LibShortText include
* It is more efficient than general text-mining packages. On a
typical computer, processing and training 10 million short texts
takes only around half an hour.
* The fast training and testing is built upon the linear classifier
* LIBLINEAR
* Default options often work well without tedious tuning.
* An interactive tool for error analysis is included. Based on the
property that each short text contains few words, LibShortText
provides details in predicting each text.
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35 lines
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@comment $NetBSD: PLIST,v 1.1.1.1 2014/10/29 17:06:40 cheusov Exp $
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bin/text-predict.py
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bin/text-train.py
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bin/text2svm.py
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share/doc/libshorttext/README
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share/examples/libshorttext/demo/demo.py
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share/examples/libshorttext/demo/demo.sh
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share/examples/libshorttext/demo/test_feats1
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share/examples/libshorttext/demo/test_feats2
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share/examples/libshorttext/demo/test_file
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share/examples/libshorttext/demo/train_feats1
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share/examples/libshorttext/demo/train_feats2
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share/examples/libshorttext/demo/train_file
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${PYSITELIB}/libshorttext/analyzer/analyzer_impl.py
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${PYSITELIB}/libshorttext/__init__.py
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${PYSITELIB}/libshorttext/analyzer/__init__.py
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${PYSITELIB}/libshorttext/analyzer/selector.py
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${PYSITELIB}/libshorttext/classifier/__init__.py
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${PYSITELIB}/libshorttext/classifier/classifier_impl.py
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${PYSITELIB}/libshorttext/classifier/grid.py
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${PYSITELIB}/libshorttext/classifier/learner/__init__.py
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${PYSITELIB}/libshorttext/classifier/learner/learner_impl.py
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${PYSITELIB}/libshorttext/classifier/learner/liblinear/liblinear.so.1
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${PYSITELIB}/libshorttext/classifier/learner/liblinear/predict
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${PYSITELIB}/libshorttext/classifier/learner/liblinear/python/liblinear.py
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${PYSITELIB}/libshorttext/classifier/learner/liblinear/python/liblinearutil.py
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${PYSITELIB}/libshorttext/classifier/learner/liblinear/train
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${PYSITELIB}/libshorttext/classifier/learner/util.so.1
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${PYSITELIB}/libshorttext/converter/__init__.py
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${PYSITELIB}/libshorttext/converter/converter_impl.py
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${PYSITELIB}/libshorttext/converter/stemmer/__init__.py
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${PYSITELIB}/libshorttext/converter/stemmer/porter.py
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${PYSITELIB}/libshorttext/converter/stemmer/porter.so.1
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${PYSITELIB}/libshorttext/converter/stop-words/stoplist-nsp.regex
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${PYSITELIB}/libshorttext/converter/stop-words/stoplist-nsp.regex.pickle
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